






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async





def 					snake_case	(  lowerCamelCase=None       ):




	'''simple docstring'''







	if subparsers is not None:
		__lowercase   							=	subparsers.add_parser("""test"""       )
	else:
		__lowercase   							=	argparse.ArgumentParser("""Accelerate test command"""       )

	parser.add_argument(
	    """--config_file"""					,	default=lowerCamelCase					,	help=(
	        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
	        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
	        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
	        """with 'huggingface'."""
	    )					,	)

	if subparsers is not None:
		parser.set_defaults(func=lowerCamelCase       )
	return parser





def 					snake_case	(  lowerCamelCase       ):




	'''simple docstring'''







	__lowercase   							=	os.path.sep.join(__file__.split(os.path.sep       )[:-2] + ["""test_utils""", """scripts""", """test_script.py"""]       )

	if args.config_file is None:
		__lowercase   							=	script_name
	else:
		__lowercase   							=	F'--config_file={args.config_file} {script_name}'

	__lowercase   							=	["""accelerate-launch"""] + test_args.split()
	__lowercase   							=	execute_subprocess_async(lowerCamelCase					,	env=os.environ.copy()       )
	if result.returncode == 0:
		print("""Test is a success! You are ready for your distributed training!"""       )





def 					snake_case	(  ):




	'''simple docstring'''







	__lowercase   							=	test_command_parser()
	__lowercase   							=	parser.parse_args()
	test_command(lowerCamelCase       )


if __name__ == "__main__":
						main()



from __future__ import annotations




class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Dict	,  a						:str	,  a						:str		)						->					Union[str, Any]:
								__UpperCamelCase  ,		__UpperCamelCase      :  Optional[int]       =   text, pattern
								__UpperCamelCase  ,		__UpperCamelCase      :  Tuple       =   len(a		), len(a		)







	def   _lowerCamelCase							(   self						:Any	,  a						:str		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if char == self.pattern[i]:
																						return i
								return -1







	def   _lowerCamelCase							(   self						:str	,  a						:int		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if self.pattern[i] != self.text[current_pos + i]:
																						return current_pos + i
								return -1







	def   _lowerCamelCase							(   self						:Union[str, Any]		)						->					list[int]:
								# searches pattern in text and returns index positions
								__UpperCamelCase      :  Any       =   []
								for i in range(self.textLen - self.patLen + 1		):
															__UpperCamelCase      :  List[Any]       =   self.mismatch_in_text(a		)
															if mismatch_index == -1:
																						positions.append(a		)
															else:
																						__UpperCamelCase      :  Any       =   self.match_in_pattern(self.text[mismatch_index]		)
																						__UpperCamelCase      :  Dict       =   (
																						    mismatch_index - match_index
																						)  # shifting index lgtm [py/multiple-definition]
								return positions
lowercase    :   Any						=			'ABAABA'
lowercase    :   str						=			'AB'
lowercase    :   str						=			BoyerMooreSearch(text, pattern)
lowercase    :   Union[str, Any]						=			bms.bad_character_heuristic()

if len(positions) == 0:
		print('No match found')
else:
		print('Pattern found in following positions: ')
		print(positions)